Techsee Augmented Vision
-0.5%Growth (Monthly CAGR)
Series CFunding Stage
3.1 yearsTime Since Last Round
TechSee revolutionizes the customer experience domain with the first remote visual assistance platform powered by Computer Vision AI and Augmented Reality. TechSee helps organizations enhance service quality, reduce operational costs, and improve customer experience. In the new reality, organizations can deploy TechSee for remote contactless service to ensure service resilience and keep customers and employees safe. With TechSee, customers and technicians receive remote visual support through their mobile screens, in assisted-service or self-service mode, with patented browser-based technology. Using proprietary Computer Vision AI technology, TechSee recognizes devices and their issues to deliver visual automation. TechSee’s proven enterprise-grade solutions are implemented across hundreds of service organizations in 43 countries with over 2 million monthly customer interactions across industries including Telecom, Consumer Electronics, Manufacturing, Utilities and more. TechSee has received several awards including Gartner “Cool Vendor.” The Accenture Innovation Award, AI Breakthrough Awards, and Fast Company Most Innovative Companies Award. TechSee has recently announced round C funding led by Salesforce Ventures, OurCrowd and Telus, followed by the launch of a strategic partnership with Salesforce, powering the ‘Visual Remote Assistant’ for Salesforce Service Cloud and Field Service.
Employee counts updated on a monthly basis.
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Board and Advisors (0)
Funding Rounds (3)
M&A Events (0)
|Venture Capital||United States|
|Corporate Venture Capital||United States|
|Corporate Venture Capital||Canada|
|Corporate Venture Capital||Germany|
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Research Publications (0)
AI Technology Stack
Our patented technology combines proprietary Deep Learning and advanced Computer Vision AI methods, to recognize devices and their parts and associate them with common issues and resolutions. We combine proprietary Deep Learning and Computer Vision algorithms to achieve maximal robustness, speed and accuracy. Data is collected through crowdsourcing of expertise, from synthetic image generation or other any visual data sets. Our models are created and trained to analyze electronic products, based on your data, to allow the recognition of specific device models and issues to the highest level of accuracy. We provide a customer-facing virtual assistant solution which can interact with users using voice and text commands and provide real-time feedback.